Data Analyst
3 days ago
**Purpose of the Job**:
The purpose of the Data Analyst role is to extract, analyse, and interpret data to leverage competitive advantage, supporting business decision-making through actionable trends and insights. This role is designed to enhance the individual’s analytical skills and proficiency in data communication while collaborating within a cross-functional, agile team. The Data Analyst execute various data analytics tasks, including basic modelling and scenario framing to solve business problems, and effectively communicates findings to facilitate sound commercial decisions. This position emphasizes continuous skill development and maintaining clear, concise communication of data-driven insights.
**Job Objectives**:
Work with business stakeholders to understand and correctly frame analysis requirements, hypotheses and questions and propose fit-for-purpose data led solutions.
Assist in transforming complex data into meaningful formats and graphical reports by writing clear and effective business requirements and making necessary modifications as needed.
Build and publish comprehensive and compelling dashboards, reports and analytical findings including insightful observations, commentary, and recommendations to optimise spend or increase the effectiveness of business initiatives.
Support with complex data related queries from business stakeholders, helping to resolve issues or enable understanding and integration of findings to unlock key insights.
Validate datasets and reports and proactively resolve any data or metric related issues.
Evaluate the accuracy of data sources and data gathering techniques and ensure data quality and integrity is maintained throughout the analytics process.
Maintain documentation, user guides or training material, ensuring the consistent applicaiton of language and definitions.
Collaborate across teams and functions to fully leverage data and enable transformative insights that drive sound business decisions.
Stay updated on developments in data analytics and adjacent fields to ensure the latest techniques and methods are applied to enhance data analysis practices at Shoprite.
**Qualifications**:
Diploma or Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or related field
**Experience**:
+1 years’ experience working as part of an agile, progressive data team, as a Data Analyst or similar role.
Experience working in an agile environment.
**Knowledge and Skills**:
Basic proficiency in data analysis tools and techniques (e.g., SQL, Excel, Python, R).
Familiarity with data analysis concepts and methods.
Ability to work with large datasets.
Basic knowledge of Tableau and PowerBI for data visualisation.
Working knowledge of SQL and relational databases - (advantageous).
**Applicant Feedback Policy**:
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